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1.
SE4S toolkit extension project vision diagramming tool build your vision
by Raufdeen, Ramzi A., M.S.  California State University, Long Beach. 2016: 32 pages; 10147325.
2.
Mobile vision multicolor target detection and color information decoding
by Bagherinia, Homayoun, Ph.D.  University of California, Santa Cruz. 2014: 157 pages; 3681341.
3.
The image torque operator for mid-level vision: Theory and experiment
by Nishigaki, Morimichi, Ph.D.  University of Maryland, College Park. 2012: 142 pages; 3553456.
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5.
Algebraic Geometry for Computer Vision
by Kileel, Joseph David, Ph.D.  University of California, Berkeley. 2017: 139 pages; 10282753.
6.
Grammatical methods in computer vision
by Purdy, Eric, Ph.D.  The University of Chicago. 2013: 212 pages; 3557428.
7.
An Egocentric Computer Vision-Based Robotic Wheelchair
by Kutbi, Mohammed, Ph.D.  Stevens Institute of Technology. 2018: 131 pages; 10979494.
8.
Interactive visual prototyping of computer vision applications
by Maynes-Aminzade, Daniel, Ph.D.  Stanford University. 2008: 105 pages; 3332995.
9.
Fusion of Evolution Constructed Features for Computer Vision
by Price, Stanton Robert, Ph.D.  Mississippi State University. 2018: 157 pages; 10746451.
10.
Remote sensing of vegetation structure using computer vision
by Dandois, Jonathan P., Ph.D.  University of Maryland, Baltimore County. 2014: 266 pages; 3637314.
11.
Computer Vision and Image Processing Toolbox for MATLAB
by Regmi, Krishna, M.S.  Southern Illinois University at Edwardsville. 2015: 113 pages; 1597577.
12.
Data-driven computer vision for science and the humanities
by Lee, Stefan, Ph.D.  Indiana University. 2016: 130 pages; 10153534.
13.
Extracting Key Features for Analysis and Recognition in Computer Vision
by Gao, Hui, Ph.D.  The Ohio State University. 2006: 164 pages; 10835745.
14.
Computer vision for dual spacecraft proximity operations – A feasibility study
by Stich, Melanie Katherine, M.S.  University of California, Davis. 2015: 135 pages; 1604072.
15.
A computer vision approach to classification of circulating tumor cells
by Hopkins, David, M.S.  Colorado State University. 2013: 93 pages; 1539638.
16.
Statistical models and optimization algorithms for high-dimensional computer vision problems
by Mitra, Kaushik, Ph.D.  University of Maryland, College Park. 2011: 155 pages; 3478970.
17.
Development of a Computer Vision and Image Processing Toolbox for Matlab
by Gorantla, Lakshmi Anjana Devi, M.S.  Southern Illinois University at Edwardsville. 2018: 71 pages; 10844337.
18.
Geometric representations and deep Gaussian conditional random field networks for computer vision
by Vemulapalli, Raviteja, Ph.D.  University of Maryland, College Park. 2016: 185 pages; 10192530.
19.
Computer Vision and Image Processing: Development and Optimization of MATLAB CVIP Toolbox
by Mishra, Deependra, M.S.  Southern Illinois University at Edwardsville. 2018: 92 pages; 10807716.
20.
An “active vision” computational model of visual search for human -computer interaction
by Halverson, Timothy E., Ph.D.  University of Oregon. 2008: 191 pages; 3346648.
21.
Beyond dynamic textures: A family of stochastic dynamical models for video with applications to computer vision
by Chan, Antoni Bert, Ph.D.  University of California, San Diego. 2008: 291 pages; 3331461.
23.
Supervised and Unsupervised Learning for Semantics Distillation in Multimedia Processing
by Liu, Yu, Ph.D.  State University of New York at Buffalo. 2018: 150 pages; 10932367.
25.
A vision of language: The mechanism, development and consequence of an interaction between language and vision
by Dessalegn, Banchiamlack, Ph.D.  The Johns Hopkins University. 2009: 117 pages; 3357163.
27.
Machine Vision Techniques for Crane Workspace Mapping
by Rahman, Mohammad Sazzad, M.S.  University of Louisiana at Lafayette. 2015: 97 pages; 1596637.
28.
The Performance of Random Prototypes in Hierarchical Models of Vision
by Stewart, Kendall Lee, M.S.  Portland State University. 2015: 79 pages; 1605894.
29.
Automated Cancer Detection and Drug Discovery: Two Biomedical Vision Systems
by Kabra, Mayank, Ph.D.  University of California, San Diego. 2011: 114 pages; 3466354.
30.
A Vision-Based Algorithm for UAV State Estimation During Vehicle Recovery
by Burns, William Robert, M.S.  University of Kansas. 2011: 93 pages; 1499724.
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